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OBJECTIVE: Stress is a condition caused by various factors and characterized by imbalance in body functioning, impair in nervous system, and tension. The purpose of this study was to examine the effects of cortisol level, which increases in healthy young individuals due to stress, on dynamic and static balance scores as well as to present the results caused by high levels of stress. METHODS: In this study, 107 healthy medicine faculty students in their second year (who will take the same committee exam) aged between 19 and 23 years were included. The first balance measurements and saliva samples were taken 40 days before the committee exam, and this period was acknowledged as the relaxed period. The same students were considered for balance measurements again on the day of committee exam; saliva samples were collected, and cortisol concentration was determined. This period was acknowledged as the stressful period. The State-Trait Anxiety Inventory (STAI) was given to the participants in their relaxed and stressful periods. Dynamic balance scores were measured with Star Excursion Balance Test (SEBT). Static balance scores were measured with One Leg Standing Balance Test (OLSBT). RESULTS: The mean cortisol level was found to increase approximately 9 times in stressful periods compared with that in relaxed periods. STAI, which shows state anxiety, showed an increase supporting this increase. In stressful periods, dynamic balance scores showed obvious decrease in all directions. In addition, in stressful periods, an obvious decrease was observed in static balance scores compared with those in relaxed periods. CONCLUSION: This study showed that stress negatively affected dynamic and static balance, even for short periods of time. We believe that our study will form a positive source and basis when correlated with long terms stress and balance measurements.

We are experiencing the effects of Covid-19 pandemic as the whole world. All educational facilities have been negatively affected within this period. In this study, the aim was to evaluate online Anatomy education during Covid-19 pandemic with students' feedbacks and it was questioned whether it would be efficient to use online education more actively in the following years. Methods: A total of 1127 first and second year students from Dentistry Faculty and Medicine Faculty of Düzce, Karabük and İnönü Universities were included in the study. The survey prepared in "Google Forms" was sent online to students via "WhatsApp" application. Descriptive statistical analyses were used in data. Results: According to analysis results, it was found that the students agreed on the content and efficiency of online anatomy education, not having learning difficulties, the layout of the lessons, the importance of the lesson, the necessity for their profession, the importance of visual tools, they are worried about not being able to do face-to-face lessons, and anatomy theoretical courses shouldn't be taught online when the pandemics is over. It was found that medicine faculty students placed more importance on anatomy education in terms of professional aspects. Conclusions: As a result, we believe that the online Anatomy education students receive is important in terms of their professional development. However, we believe that it won't be possible for online Anatomy education to replace face-to-face education. This study will be a resource for studies to be conducted in medicine and health sciences fields in terms of online education.

The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible skeleton which are known to be dimorphic. CT images of the cranium skeletons of 150 men and 150 women were included in the study. 25 parameters determined were tested with different ML algorithms. Accuracy (Acc), Specificity (Spe), Sensitivity (Sen), F1 score (F1), Matthews correlation coefficient (Mcc) values were included as performance criteria and Minitab 17 package program was used in descriptive statistical analyses. p ≤ 0.05 value was considered as statistically significant. In ML algorithms, the highest prediction was found with 0.90 Acc, 0.80 Mcc, 0.90 Spe, 0.90 Sen, 0.90 F1 values as a result of LR algorithms. As a result of confusion matrix, it was found that 27 of 30 males and 27 of 30 females were predicted correctly. Acc ratios of other MLs were found to be between 0.81 and 0.88. It has been concluded that the LR algorithm to be applied to the parameters obtained from CT images of the cranium skeleton will predict sex with high accuracy.

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Objectives:The aim of this study was to present the somatotype features of young individuals without any symptoms and to identify whether isokinetic knee muscle strength and dynamic balance scores are affected by somatotype difference. Patients and methods:A total of 146 participants (88 males, 58 females; mean age 22.5±1.9 years; range 19 to 28 years) who had no symptoms were included in this study. Somatotypes of the participants were calculated using the Heath-Carter formula, and anthropometric measurements were taken from each participant. Knee flexion and extension muscle strengths at angular speeds of 90°/sec, 120°/sec and 150°/ sec were measured from the dominant and non-dominant limbs of the participants. Total balance, anterior/posterior balance, and medial/ lateral measurements were made to evaluate dynamic balance performances.Results: Six different somatotypes were found. Endomorphic mesomorph was the most common somatotype in 56 participants. There was no significant somatotype difference in men and women for dominant and non-dominant knee extension and flexion peak strength values at angular speeds of 90°/sec, 120°/sec and 150°/sec (p>0.05). No significant difference was found between the balance scores of men and women who had different somatotypes (p>0.05). Conclusion:Anatomic structure of the body, which is suitable for the sports branch, has an increasing effect on performance.

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